{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e8dc6785-4c0b-4ffa-a1ff-1190301c8f38",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Python3_Jupyter_Nb_产品历年价格同比分析及Excel数据处理.ipynb\n",
    "# Create By GF 2023-11-14 11:54"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6025ec79-b66b-42b0-9570-8b4d96733de3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3a63d9d7-2327-473e-8036-17a2fd5e3eca",
   "metadata": {},
   "outputs": [],
   "source": [
    "from Python3_DataProcFunc import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "62451dfa-f0e9-423d-bc07-d95a790b33bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ################# Pandas Setting #################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "48588ce9-698a-4664-9248-c867196f4b67",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用 Pandas 自带的 pd.options 机制关闭 Pandas 的一些不必要的 PerformanceWarning 警告.\n",
    "pd.options.mode.chained_assignment = None  # default='warn'\n",
    "#pd.options.mode.chained_operations = None  # default='warn'\n",
    "#pd.set_option('mode.chained_assignment', None)\n",
    "#pd.set_option('mode.chained_operations', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3bcac523-a5c0-40ad-858b-e4cf1bce7ff3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# ############### Matplotlib Setting ###############"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "760fa5a0-a1f7-442c-9ea8-b8bb4d1b78f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"]\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f6f9b5fb-db00-4184-a9e6-6419d76f964a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# #################### Option 1 ####################\n",
    "# ######## Reading Data & Basic Processing #########"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b9155ce6-046b-48ca-a086-26ca4ebefffc",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(\"./所有机型价格对比新张海艳11月14.xlsx\", sheet_name=\"2019-10月价格对比\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4374b35f-6e58-4b0a-9a57-6121c432af33",
   "metadata": {},
   "outputs": [],
   "source": [
    "Copy = df\n",
    "\n",
    "# Method Explain:\n",
    "# map()函数可以将一个函数映射到每个列名上.\n",
    "#df.columns = df.columns.map(lambda x: x.replace('_', ''))\n",
    "\n",
    "# Method Explain:\n",
    "# 使用列表推导式快速地对列名称进行处理.\n",
    "#df.columns = [Col.replace(\"收盘\", str('')) for Col in df.columns]\n",
    "\n",
    "Copy.columns = [DataProcFunc_Pandas_Col_Name_Replace(ColName, \" \", str('')) for ColName in Copy.columns]\n",
    "Copy.columns = [DataProcFunc_Pandas_Col_Name_Replace(ColName, \"补\", str('')) for ColName in Copy.columns]\n",
    "Copy.columns = [DataProcFunc_Pandas_Col_Name_Replace(ColName, \"日\", str('')) for ColName in Copy.columns]\n",
    "Copy.columns = [DataProcFunc_Pandas_Col_Name_Replace(ColName, \"补充\", str('')) for ColName in Copy.columns]\n",
    "Copy.columns = [DataProcFunc_Pandas_Col_Name_Replace(ColName, \"含税\", str('')) for ColName in Copy.columns]\n",
    "Copy.columns = [DataProcFunc_Pandas_Col_Name_Replace(ColName, \"收盘\", str('')) for ColName in Copy.columns]\n",
    "Copy.columns = [DataProcFunc_Date_Form_Str_Standardization(ColName) for ColName in Copy.columns]\n",
    "\n",
    "ColName_List = Copy.columns # Code Explain: 获取所有列的名称."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fdb71c26",
   "metadata": {},
   "outputs": [],
   "source": [
    "# #################### Option 2 ####################\n",
    "# ################## Filter Data ###################"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ad3074a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "Copy = Copy[(Copy[\"机型\"].str.contains(\"iphone12Pro\")) |\n",
    "            (Copy[\"机型\"].str.contains(\"iPhone13Pro\")) |\n",
    "            (Copy[\"机型\"].str.contains(\"iphone14Pro\")) |\n",
    "            (Copy[\"机型\"].str.contains(\"iphone15pro\"))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0cbcfb85-57a5-45e8-a908-2ed3171e03f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# #################### Option 3 ####################\n",
    "# ############## On Demand Transpose ###############"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f49d6077-27e9-437c-9491-f11660aa85a7",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>苹果iphone14Pro(128G)深空黑</th>\n",
       "      <th>苹果iphone14Pro(128G)银</th>\n",
       "      <th>苹果iphone14Pro(128G)金</th>\n",
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       "      <th>苹果iphone14Pro(256G)深空黑</th>\n",
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       "      <th>苹果iphone14Pro(512G)深空黑</th>\n",
       "      <th>...</th>\n",
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       "      <th>苹果iPhone13Pro(256G)远峰蓝</th>\n",
       "      <th>苹果iPhone13Pro(512G)金</th>\n",
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       "      <td>7350-7370</td>\n",
       "      <td>7400-7400</td>\n",
       "      <td>7200-7230</td>\n",
       "      <td>7360-7380</td>\n",
       "      <td>8180-8200</td>\n",
       "      <td>8350-8380</td>\n",
       "      <td>8230-8250</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "              日期 苹果iphone14Pro(128G)深空黑 苹果iphone14Pro(128G)银  \\\n",
       "1     2023.11.13                    NaN                  NaN   \n",
       "2     2023.11.12              7350-7370                 7400   \n",
       "3     2023.11.11              7350-7370            7400-7400   \n",
       "4     2023.11.10              7350-7370            7400-7420   \n",
       "5      2023.11.9              7350-7370            7430-7450   \n",
       "...          ...                    ...                  ...   \n",
       "1687    2020.5.9                    NaN                  NaN   \n",
       "1688    2020.4.5                    NaN                  NaN   \n",
       "1689    2020.4.5                    NaN                  NaN   \n",
       "1690   2020.3.20                    NaN                  NaN   \n",
       "1691   2020.3.20                    NaN                  NaN   \n",
       "\n",
       "     苹果iphone14Pro(128G)金 苹果iphone14Pro(128G)暗紫 苹果iphone14Pro(256G)深空黑  \\\n",
       "1                     NaN                   NaN                    NaN   \n",
       "2               7200-7220             7360-7400              8200-8220   \n",
       "3               7200-7230             7360-7380              8180-8200   \n",
       "4               7200-7230             7350-7370                   8200   \n",
       "5               7200-7220             7350-7370              8220-8230   \n",
       "...                   ...                   ...                    ...   \n",
       "1687                  NaN                   NaN                    NaN   \n",
       "1688                  NaN                   NaN                    NaN   \n",
       "1689                  NaN                   NaN                    NaN   \n",
       "1690                  NaN                   NaN                    NaN   \n",
       "1691                  NaN                   NaN                    NaN   \n",
       "\n",
       "     苹果iphone14Pro(256G)银 苹果iphone14Pro(256G)金 苹果iphone14Pro(256G)暗紫  \\\n",
       "1                     NaN                  NaN                   NaN   \n",
       "2               8370-8400            8240-8260             8250-8270   \n",
       "3               8350-8380            8230-8250             8240-8260   \n",
       "4               8320-8340            8240-8250             8230-8250   \n",
       "5               8320-8340            8230-8250             8220-8250   \n",
       "...                   ...                  ...                   ...   \n",
       "1687                  NaN                  NaN                   NaN   \n",
       "1688                  NaN                  NaN                   NaN   \n",
       "1689                  NaN                  NaN                   NaN   \n",
       "1690                  NaN                  NaN                   NaN   \n",
       "1691                  NaN                  NaN                   NaN   \n",
       "\n",
       "     苹果iphone14Pro(512G)深空黑  ... 苹果iPhone13Pro(256G)银 苹果iPhone13Pro(256G)远峰蓝  \\\n",
       "1                       NaN  ...                  NaN                    NaN   \n",
       "2                 9060-9080  ...                  NaN                    NaN   \n",
       "3                 9060-9080  ...                    0                      0   \n",
       "4                 9050-9060  ...                  NaN                    NaN   \n",
       "5                 9050-9060  ...                  NaN                    NaN   \n",
       "...                     ...  ...                  ...                    ...   \n",
       "1687                    NaN  ...                  NaN                    NaN   \n",
       "1688                    NaN  ...                  NaN                    NaN   \n",
       "1689                    NaN  ...                  NaN                    NaN   \n",
       "1690                    NaN  ...                  NaN                    NaN   \n",
       "1691                    NaN  ...                  NaN                    NaN   \n",
       "\n",
       "     苹果iPhone13Pro(512G)金 苹果iPhone13Pro(512G)石墨 苹果iPhone13Pro(512G)银  \\\n",
       "1                     NaN                   NaN                  NaN   \n",
       "2                     NaN                   NaN                  NaN   \n",
       "3                       0                     0                    0   \n",
       "4                     NaN                   NaN                  NaN   \n",
       "5                     NaN                   NaN                  NaN   \n",
       "...                   ...                   ...                  ...   \n",
       "1687                  NaN                   NaN                  NaN   \n",
       "1688                  NaN                   NaN                  NaN   \n",
       "1689                  NaN                   NaN                  NaN   \n",
       "1690                  NaN                   NaN                  NaN   \n",
       "1691                  NaN                   NaN                  NaN   \n",
       "\n",
       "     苹果iPhone13Pro(512G)远峰蓝 苹果iPhone13Pro(1TBG)金 苹果iPhone13Pro(1TBG)石墨  \\\n",
       "1                       NaN                  NaN                   NaN   \n",
       "2                       NaN                  NaN                   NaN   \n",
       "3                         0                    0                     0   \n",
       "4                       NaN                  NaN                   NaN   \n",
       "5                       NaN                  NaN                   NaN   \n",
       "...                     ...                  ...                   ...   \n",
       "1687                    NaN                  NaN                   NaN   \n",
       "1688                    NaN                  NaN                   NaN   \n",
       "1689                    NaN                  NaN                   NaN   \n",
       "1690                    NaN                  NaN                   NaN   \n",
       "1691                    NaN                  NaN                   NaN   \n",
       "\n",
       "     苹果iPhone13Pro(1TBG)银 苹果iPhone13Pro(1TBG)远峰蓝  \n",
       "1                     NaN                    NaN  \n",
       "2                     NaN                    NaN  \n",
       "3                       0                      0  \n",
       "4                     NaN                    NaN  \n",
       "5                     NaN                    NaN  \n",
       "...                   ...                    ...  \n",
       "1687                  NaN                    NaN  \n",
       "1688                  NaN                    NaN  \n",
       "1689                  NaN                    NaN  \n",
       "1690                  NaN                    NaN  \n",
       "1691                  NaN                    NaN  \n",
       "\n",
       "[1691 rows x 117 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TRS = Copy\n",
    "\n",
    "Filter_Date_Form_ColName = [Col for Col in TRS.columns if DataProcFunc_Judge_Str_Is_Date_Form(Col) == 1];\n",
    "\n",
    "# Code Explain: Filter Columns Name That Meets The Criteria.\n",
    "TRS = TRS[[\"机型\"] + Filter_Date_Form_ColName] # -> Equivalent to: Filter_Date_Form_ColName.insert(0, \"机型\")\n",
    "\n",
    "# Function Explain:\n",
    "# Transpose Data.\n",
    "TRS = TRS.transpose() # -> Equivalent to: TRS.T\n",
    "\n",
    "# Function Explain:\n",
    "# Convert All Old Indexes to Columns and Reset a New Sequential Index.\n",
    "# 将旧索引全部转化为列, 并重置一个新的顺序索引.\n",
    "# Option: drop=False # -> 把旧的索引全部删除, 并重置一个新的顺序索引.\n",
    "# Option: inplace=True # -> 在原DataFrame上进行更改.\n",
    "# Option: level=\"机型\" # -> 从多索引中释放特定的索引列, Equivalent to level=0.\n",
    "TRS = TRS.reset_index()\n",
    "\n",
    "First_Row_Value_List = DataProcFunc_Pandas_Extract_RowsVal_To_List_By_ColValLoc(TRS, \"index\", \"机型\")\n",
    "\n",
    "# Function Explain:\n",
    "# Delete Rows or Columns.\n",
    "# Use \"axis=0\" to Delete Rows, and Use \"axis=1\" to Delete Columns.\n",
    "TRS = TRS.drop(labels=0, axis=0) # Code Explain: Delete Rows With Row Index 0 Equivalent to labels=\"机型\".\n",
    "\n",
    "First_Row_Value_List[0] = \"日期\"\n",
    "TRS.columns = First_Row_Value_List\n",
    "\n",
    "#TRS = TRS.dropna(axis=0, how=\"all\")\n",
    "\n",
    "TRS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "75f0a3d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# #################### Option 4 ####################\n",
    "# ############### Data Visualization ###############"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2c725d6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>日期</th>\n",
       "      <th>月日</th>\n",
       "      <th>X-月日</th>\n",
       "      <th>苹果iphone12Pro(256G)石墨</th>\n",
       "      <th>苹果iPhone13Pro(256G)石墨</th>\n",
       "      <th>苹果iphone14Pro(256G)金</th>\n",
       "      <th>苹果iphone15pro(256G)黑</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>09-01</td>\n",
       "      <td>0-09-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-09-02</td>\n",
       "      <td>2022-09-02</td>\n",
       "      <td>09-02</td>\n",
       "      <td>0-09-02</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-09-03</td>\n",
       "      <td>2022-09-03</td>\n",
       "      <td>09-03</td>\n",
       "      <td>0-09-03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-09-04</td>\n",
       "      <td>2022-09-04</td>\n",
       "      <td>09-04</td>\n",
       "      <td>0-09-04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-09-05</td>\n",
       "      <td>2022-09-05</td>\n",
       "      <td>09-05</td>\n",
       "      <td>0-09-05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2023-09-26</td>\n",
       "      <td>2023-09-26</td>\n",
       "      <td>09-26</td>\n",
       "      <td>1-09-26</td>\n",
       "      <td>7950.0</td>\n",
       "      <td>8120.0</td>\n",
       "      <td>8120.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>2023-09-27</td>\n",
       "      <td>2023-09-27</td>\n",
       "      <td>09-27</td>\n",
       "      <td>1-09-27</td>\n",
       "      <td>7970.0</td>\n",
       "      <td>8145.0</td>\n",
       "      <td>8145.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>2023-09-28</td>\n",
       "      <td>2023-09-28</td>\n",
       "      <td>09-28</td>\n",
       "      <td>1-09-28</td>\n",
       "      <td>7910.0</td>\n",
       "      <td>8120.0</td>\n",
       "      <td>8185.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>2023-09-29</td>\n",
       "      <td>2023-09-29</td>\n",
       "      <td>09-29</td>\n",
       "      <td>1-09-29</td>\n",
       "      <td>7815.0</td>\n",
       "      <td>8115.0</td>\n",
       "      <td>8190.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>2023-09-30</td>\n",
       "      <td>2023-09-30</td>\n",
       "      <td>09-30</td>\n",
       "      <td>1-09-30</td>\n",
       "      <td>7665.0</td>\n",
       "      <td>8130.0</td>\n",
       "      <td>8240.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>395 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date         日期     月日     X-月日  苹果iphone12Pro(256G)石墨  \\\n",
       "0   2022-09-01 2022-09-01  09-01  0-09-01                    NaN   \n",
       "1   2022-09-02 2022-09-02  09-02  0-09-02                    NaN   \n",
       "2   2022-09-03 2022-09-03  09-03  0-09-03                    NaN   \n",
       "3   2022-09-04 2022-09-04  09-04  0-09-04                    NaN   \n",
       "4   2022-09-05 2022-09-05  09-05  0-09-05                    NaN   \n",
       "..         ...        ...    ...      ...                    ...   \n",
       "390 2023-09-26 2023-09-26  09-26  1-09-26                 7950.0   \n",
       "391 2023-09-27 2023-09-27  09-27  1-09-27                 7970.0   \n",
       "392 2023-09-28 2023-09-28  09-28  1-09-28                 7910.0   \n",
       "393 2023-09-29 2023-09-29  09-29  1-09-29                 7815.0   \n",
       "394 2023-09-30 2023-09-30  09-30  1-09-30                 7665.0   \n",
       "\n",
       "     苹果iPhone13Pro(256G)石墨  苹果iphone14Pro(256G)金  苹果iphone15pro(256G)黑  \n",
       "0                      NaN                   NaN                   NaN  \n",
       "1                      NaN                   NaN                   NaN  \n",
       "2                      NaN                   NaN                   NaN  \n",
       "3                      NaN                   NaN                   NaN  \n",
       "4                      NaN                   NaN                   NaN  \n",
       "..                     ...                   ...                   ...  \n",
       "390                 8120.0                8120.0                   NaN  \n",
       "391                 8145.0                8145.0                   NaN  \n",
       "392                 8120.0                8185.0                   NaN  \n",
       "393                 8115.0                8190.0                   NaN  \n",
       "394                 8130.0                8240.0                   NaN  \n",
       "\n",
       "[395 rows x 8 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1536x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Contrast_Product_Name = [\"苹果iphone12Pro(256G)石墨\",\n",
    "                         \"苹果iPhone13Pro(256G)石墨\",\n",
    "                         \"苹果iphone14Pro(256G)金\",\n",
    "                         \"苹果iphone15pro(256G)黑\"]\n",
    "# --------------------------------------------------\n",
    "fig = plt.figure(figsize=(16, 9), dpi=96)\n",
    "ax1 = plt.axes([0.1,0.1,0.8,0.8])\n",
    "ax2 = ax1.twinx()\n",
    "# --------------------------------------------------\n",
    "DrawData = TRS[[\"日期\"] + Contrast_Product_Name]\n",
    "DrawData[\"日期\"] = DrawData[\"日期\"].astype(\"datetime64[ns]\")\n",
    "# --------------------------------------------------\n",
    "for name in Contrast_Product_Name:\n",
    "    DrawData[name] = DrawData[name].apply(lambda x: DataProcFunc_Pandas_Digit_Form_StrVal_Tail_Wash(x))\n",
    "    DrawData[name] = DrawData[name].apply(lambda x: DataProcFunc_Pandas_StrVal_Replace(x, \"*\", str('')))\n",
    "    DrawData[name] = DrawData[name].apply(lambda x: DataProcFunc_Pandas_StrVal_Replace(x, \"含税\", str('')))\n",
    "    DrawData[name] = DrawData[name].apply(lambda x: DataProcFunc_Pandas_StrVal_Split_To_List_Skip_Other(x, '-'))\n",
    "    DrawData[name] = DrawData[name].apply(lambda x: DataProcFunc_Pandas_StrVal_Split_To_List_Skip_Other(x, '/'))\n",
    "# --------------------------------------------------\n",
    "for name in Contrast_Product_Name:\n",
    "    DrawData[name] = DrawData[name].apply(lambda x: DataProcFunc_Pandas_DigStr_Or_StrList_Avg(x))\n",
    "    #DrawData[name] = DrawData[name].apply(lambda x: DataProcFunc_Pandas_DigStr_Or_StrList_Max(x))\n",
    "    #DrawData[name] = DrawData[name].apply(lambda x: DataProcFunc_Pandas_DigStr_Or_StrList_Min(x))\n",
    "# --------------------------------------------------\n",
    "for name in Contrast_Product_Name:\n",
    "    DrawData[name] = DrawData[name].astype(\"float64\")\n",
    "# --------------------------------------------------\n",
    "DrawData = DrawData[[\"日期\"] + Contrast_Product_Name].groupby(\"日期\").mean().reset_index()\n",
    "# --------------------------------------------------\n",
    "Date_Df = DataProcFunc_Pandas_Create_Date_Series_DataFrame(\"2022-09-01\", \"2023-09-30\")\n",
    "# --------------------------------------------------\n",
    "DrawData[Contrast_Product_Name[0]] = DrawData[Contrast_Product_Name[0]].shift(730)\n",
    "DrawData[Contrast_Product_Name[1]] = DrawData[Contrast_Product_Name[1]].shift(365)\n",
    "# --------------------------------------------------\n",
    "DrawData[Contrast_Product_Name[3]] = DrawData[Contrast_Product_Name[3]].shift(-365)\n",
    "# --------------------------------------------------\n",
    "DrawData = pd.merge(Date_Df, DrawData, how=\"left\", on=\"日期\")\n",
    "# --------------------------------------------------\n",
    "for row in DrawData.index:\n",
    "    for col in DrawData.columns:\n",
    "        if DrawData.loc[row, col] == '\\0':\n",
    "            DrawData.loc[row, col] = None\n",
    "        if DrawData.loc[row, col] == '0':\n",
    "            DrawData.loc[row, col] = None\n",
    "        if DrawData.loc[row, col] == 0:\n",
    "            DrawData.loc[row, col] = None\n",
    "# ----------------------------------------------\n",
    "ax1.plot(DrawData[\"日期\"], DrawData[Contrast_Product_Name[0]], label=Contrast_Product_Name[0], linestyle=\"dotted\", color=\"#00FFFF\")\n",
    "ax1.plot(DrawData[\"日期\"], DrawData[Contrast_Product_Name[1]], label=Contrast_Product_Name[1], linestyle=\"dotted\", color=\"#9F8AFD\")\n",
    "ax1.plot(DrawData[\"日期\"], DrawData[Contrast_Product_Name[2]], label=Contrast_Product_Name[2], linestyle=\"dotted\", color=\"#0A6393\")\n",
    "# ----------------------------------------------\n",
    "ax2.plot(DrawData[\"日期\"], DrawData[Contrast_Product_Name[3]], label=Contrast_Product_Name[3], linestyle=\"solid\", color=\"#FF3333\")\n",
    "# ----------------------------------------------\n",
    "#ax1.annotate(\"Max\", xy=(500, DrawData[Contrast_Product_Name[0]].max()))\n",
    "# ----------------------------------------------\n",
    "ax1.set_title(\"%s & %s 同比分析\" % (\"历代 iPhone Pro\", Contrast_Product_Name[3]))\n",
    "# ----------------------------------------------\n",
    "ax1.legend(loc=\"upper left\")\n",
    "ax2.legend(loc=\"upper right\")\n",
    "\n",
    "DrawData"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8613bc2a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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